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Data Science Lead

Solstice Analytics · Europe · Posted 11d ago

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About the role

Lead the development and validation of core risk models while managing a small team and presenting findings to leadership.

📋 Description Profile anonymized lake; interrogate large tables; ensure stats traceable to source. Build and validate core risk models: PD, delinquency, early-warning, segmentation, scorecards. Establish model validation discipline: train/test/off-time splits; Gini/AUC/KS; backtesting. Define feature logic with Data Engineer; write SQL/dbt/Python; harmonized semantics. Prototype NL insight layer: text-to-SQL / RAG; add guardrails. Lead a small pod; manage tasks; present findings to client leadership. 🎯 Requirements Expert Python for DS (pandas/Polars, scikit-learn, statsmodels) + SQL. Credit-risk/financial modeling: scorecards, PD, delinquency, segmentation, governance. Data validation, profiling and feature engineering on enterprise data. dbt/semantic modeling; collaborate with data engineering on harmonization layer. GenAI insight layer: text-to-SQL, RAG over data; guardrails. 7+ years hands-on DS in regulated contexts; lead small teams; hands-on coding.

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FAQ

Is the Data Science Lead role at Solstice Analytics remote?+

This Data Science Lead position is listed as remote (Europe).

What seniority level is this Data Science Lead role?+

This is a lead level position.

How do I apply for the Data Science Lead role at Solstice Analytics?+

Use the "Apply on empllo" button to open the original posting on empllo, where you can submit your application directly to Solstice Analytics.